You will build and execute a comprehensive partnership strategy across consulting, hardware, and software ecosystems to drive business growth. This involves sourcing partners, negotiating agreements, and collaborating with internal teams to turn these relationships into measurable revenue and customer pipeline.
Lead and scale the Delivery organization, including Implementation and Forward Deployed Engineering teams, to drive successful customer outcomes. Act as a hands-on leader who manages complex deployments, builds scalable operational playbooks, and fosters tight feedback loops between customers and the product team.
Develop and deliver technical enablement programs, including webinars and workshops, to help customers successfully use the Roboflow platform. Identify recurring customer friction points to create scalable educational assets and improve product usability.
The Solutions Architect will act as the primary technical resource in pre-sales, collaborating with the sales team to qualify opportunities and design scalable edge-based computer vision solutions. They will lead technical demonstrations, proof of concepts, and serve as a trusted advisor to clients regarding technical requirements and deployment methodologies.
You will design and build reinforcement learning environments, evaluations, and datasets to improve frontier model capabilities. Additionally, you will develop scalable infrastructure and collaborate with researchers at leading AI labs to ensure high-quality, reproducible data pipelines.
You will own the end-to-end delivery of datasets and environments for AI labs, managing the process from intake to final shipment. Additionally, you will interface with researchers and engineers to translate requirements into concrete specs and automate recurring tasks.
Coordinate end-to-end interview logistics and candidate communications across various departments to ensure a polished hiring experience. Partner with recruiters and hiring managers to maintain accurate data in the ATS and improve recruiting workflows.
Build and maintain the flagship open source computer vision inference engine while developing an agentic-driven contribution and release pipeline. Act as the technical steward and public face of the project, bridging the gap between core engineering and customers.
Own entire product surfaces from idea to impact, focusing on the end-to-end pipeline for computer vision projects. Collaborate on strategy and roadmap decisions while shipping features that reduce user friction.
Own the end-to-end hiring process for go-to-market functions including Sales, Customer Success, Marketing, and Partnerships. Partner with leadership to define role requirements, build scalable recruiting systems, and attract top AI talent.
Own full-cycle recruiting across Product, Engineering, Design, and Research to hire exceptional technical talent. Partner with leadership to define success profiles, refine hiring strategies, and improve recruiting systems and tooling.
Own end-to-end product positioning and lead high-impact product launches to transition the company's narrative to a Vision AI platform. Develop buyer-facing surfaces and sales enablement materials to support complex B2B sales cycles across various industrial verticals.
Lead the 0-to-1 phase of customer deployments by building production-grade computer vision workflows and configuring edge hardware. Act as a technical bridge between customers and internal product teams to refine the Roboflow platform based on real-world field data.
Develop novel machine learning methods and contribute to the team's research agenda to improve computer vision applications. Translate research findings into scalable production systems while identifying areas for innovation.
This role involves building and extending Salesforce functionality using Apex, LWC, and custom objects, while also implementing GTM workflows and automation across the broader tech stack including tools like Outreach and ZoomInfo. Key tasks include supporting custom forecasting logic, building lightweight internal tools, refining integrations, and helping design AI/LLM-powered workflows.
